首页|Study Results from Shanghai University Update Understanding of Machine Learning (Machine Learning Combined With Weighted Voting Regression and Proactive Searchi ng Progress To Discover Abo3-d Perovskites With High Oxide Ionic …)
Study Results from Shanghai University Update Understanding of Machine Learning (Machine Learning Combined With Weighted Voting Regression and Proactive Searchi ng Progress To Discover Abo3-d Perovskites With High Oxide Ionic …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated,“ABO(3-& delta;)-typeperovskites are oneof theimportant oxygen ion conductors because of the enhancedpropertiesthrough adjustments to the composition via elemental dopi ng. In thiswork, machine learningcombined with weighted voting regression (WVR) and proactive searching progress (PSP) was used todevelop a modelwith high accu racy for the prediction of the oxide ionic conductivityof doped ABO(3-δ) perovskites.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShanghai University
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